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Melissa DeJonckheere; Lisa M. Vaughn; Tyler G. James; Amanda C. Schondelmeyer – Journal of Mixed Methods Research, 2024
Qualitative thematic analysis is a commonly used and widely applicable form of qualitative analysis, though it can be challenging to implement. Due to its use across research questions, qualitative traditions, and fields, thematic analysis is also prevalent in mixed methods studies. Despite its widespread use, the term "thematic…
Descriptors: Guidelines, Mixed Methods Research, Qualitative Research, Research Design
Hertog, Steffen – Sociological Methods & Research, 2023
In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…
Descriptors: Case Studies, Generalization, Prediction, Mixed Methods Research
Brunton, Ginny; Oliver, Sandy; Thomas, James – Research Synthesis Methods, 2020
Framework synthesis is one systematic review method employed to address health care practice and policy. Adapted from framework analysis methods, it has been used increasingly, using both qualitative and mixed-method systematic review methods. This article demonstrates a spectrum of approaches to framework synthesis that are dependent on the…
Descriptors: Innovation, Health Services, Guidelines, Mixed Methods Research
Sakata, Nozomi – Journal of Mixed Methods Research, 2023
Whereas the significance and potential impacts of messiness in mixed methods research have been well acknowledged, the literature on mixed methods research has accumulated few examples of engaging and navigating mess. This article provides an account of the nitty-gritty of messiness and its consequences during the process of mixed methods…
Descriptors: Guidelines, Mixed Methods Research, Case Studies, Interpersonal Relationship
Public Agenda, 2012
"Building Institutional Capacity for Data-Informed Decision Making" is the third installment of the Cutting Edge series, which aims to help colleges engage faculty, scale successful interventions, and create a strong culture of evidence through use of data to strengthen their institutional change and student success efforts. Though the…
Descriptors: Evidence, Community Colleges, Organizational Change, Decision Making